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DBMS > Heroic vs. ObjectBox vs. openGauss vs. Stardog vs. Tkrzw

System Properties Comparison Heroic vs. ObjectBox vs. openGauss vs. Stardog vs. Tkrzw

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonObjectBox  Xexclude from comparisonopenGauss  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchExtremely fast embedded database for small devices, IoT and MobileAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­spotify/­heroicobjectbox.iogitee.com/­opengauss
opengauss.org
www.stardog.comdbmx.net/­tkrzw
Technical documentationspotify.github.io/­heroicdocs.objectbox.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.stardog.com
DeveloperSpotifyObjectBox LimitedHuawei and openGauss communityStardog-UnionMikio Hirabayashi
Initial release20142017201920102020
Current release3.0, March 20227.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C, C++, JavaJavaC++
Server operating systemsAndroid
iOS
Linux
macOS
Windows
LinuxLinux
macOS
Windows
Linux
macOS
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono infoImport/export of XML data possibleno
Secondary indexesyes infovia Elasticsearchyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoANSI SQL 2011Yes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary native APIJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serverSource-replica replicationMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
HeroicObjectBoxopenGaussStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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